@article{oai:niigata-u.repo.nii.ac.jp:00001704, author = {Sato, Akinobu and 山口, 芳雄 and Singh, Gulab and Park, Sang-Eun}, issue = {2}, journal = {IEEE geoscience and remote sensing letters, IEEE geoscience and remote sensing letters}, month = {Mar}, note = {In the three-component or four-component decompositions, polarimetric scattering properties and corresponding physical scattering models play essential roles for power decomposition. This letter proposes an improved four-component scattering power decomposition method that employs a suitable volume scattering model for single bounce or double bounce scattering in the polarimetric SAR image analysis. The cross-polarized HV component is created by both single bounce object (such as vegetation) and double bounce structures (such as oriented building blocks). It has been difficult to discriminate these two objects (vegetation against oriented buildings) in the decomposed images, since the HV component is assigned to the volume scattering due to vegetation only. We propose to extend the volume scattering model suited for two physical scattering models. It is shown that vegetation area and oriented urban building area are well discriminated compared to those resulting from implementation of the existing four-component scattering power decomposition.}, pages = {166--170}, title = {Four-Component Scattering Power Decomposition With Extended Volume Scattering Model}, volume = {9}, year = {2012} }